• Compression
• Signal Processing
• Image Analysis
• Data Analysis

• Storage
• Visualization
• Dimensionality Reduction
• Classification

Visual Exploration

Visual exploration of the data is almost always necessary, be it to find a model or to check existing models or the quality of the data. With large multidimensional data sets, however, visualization is not trivial. Either a way has to be found to:

• display more than three dimensions of the data on the screen (e.g. by different colors and sizes of the data points)
• project the data onto a lower-dimensional space
• perform a Principal Component Analysis (PCA) and then consider only the most relevant dimensions

or the data is parameterized and the parameterization is displayed.

Fast Plotting

In order to explore the data without delay, the above operations and the subsequent display must be carried out very quickly. 256.systems develops lean, efficient code in C and uses OpenGL or plplot for graphical output. The resulting programs have a user interface tailored to the problem with all the necessary functions such as intuitive navigation through data clouds, axis transformations, screenshots, video export, etc.

Contact

For questions, 256.systems can be contacted.